Open AccessCompact reservoir computing with a photonic integrated circuit
Author(s) -
Kiminori Takano,
Chihiro Sugano,
Masanobu Inubushi,
Kazuyuki Yoshimura,
Satoshi Sunada,
Kazutaka Kanno,
Atsushi Uchida
Publication year - 2018
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.26.029424
Subject(s) - photonics , reservoir computing , photonic integrated circuit , computer science , miniaturization , optical computing , electronic engineering , node (physics) , optics , physics , electrical engineering , artificial intelligence , artificial neural network , engineering , recurrent neural network , quantum mechanics
Photonic reservoir computing is a new paradigm for performing high-speed prediction and classification tasks in an efficient manner. The major challenge for the miniaturization of photonic reservoir computing is the need for the use of photonic integrated circuits. Herein, we experimentally demonstrate reservoir computing using a photonic integrated circuit with a semiconductor laser and a short external cavity. We propose a method to increase the number of virtual nodes in delayed feedback using short node intervals and outputs from multiple delay times. We perform time-series prediction and nonlinear channel equalization tasks using reservoir computing with the photonic integrated circuit. We show that the photonic integrated circuit with optical feedback outperforms the photonic integrated circuit without optical feedback for prediction tasks. To enhance the memory effect we feed past input signals in the current input data and demonstrate successful performance in an n-step-ahead prediction task.